Show simple item record Huang, Zhiheng Shen, Qiang 2008-01-22T17:04:53Z 2008-01-22T17:04:53Z 2004
dc.identifier.citation Huang , Z & Shen , Q 2004 , ' Scale and move transformation-based fuzzy interpolative reasoning: A revisit ' pp. 623-628 . en
dc.identifier.other PURE: 74747
dc.identifier.other PURE UUID: 24f09661-f901-431b-adc4-949f210522da
dc.identifier.other dspace: 2160/454
dc.identifier.other DSpace_20121128.csv: row: 339
dc.identifier.other Scopus: 11144324508
dc.identifier.uri en
dc.description Z. Huang and Q. Shen. Scale and move transformation-based fuzzy interpolative reasoning: A revisit. Proceedings of the 13th International Conference on Fuzzy Systems, pages 623-628, 2004. en
dc.description.abstract This paper generalises the previously proposed interpolative reasoning method [5] to cover interpolations involving complex polygon, Gaussian or other bell-shaped fuzzy membership functions. This can be achieved by the generality of the proposed scale and move transformations. The method works by first constructing a new inference rule via manipulating two given adjacent rules, and then by using scale and move transformations to convert the intermediate inference results into the final derived conclusions. This generalised method has two advantages thanks to the elegantly proposed transformations: 1) It can easily handle interpolation of multiple antecedent variables with simple computation; and 2) It guarantees the uniqueness as well as normality and convexity of the resulting interpolated fuzzy sets. Numerical examples are provided to demonstrate the use of this method. en
dc.format.extent 6 en
dc.language.iso eng
dc.relation.ispartof en
dc.rights en
dc.title Scale and move transformation-based fuzzy interpolative reasoning: A revisit en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontoconference/paper en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Non peer reviewed en

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